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Assessment of Carbon Density in Natural Mountain Forest Ecosystems at Northwest China

Author

Listed:
  • Li Dai

    (School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China)

  • Yufang Zhang

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China)

  • Lei Wang

    (Xinjiang Academy of Forestry Sciences, Urumqi 830011, China)

  • Shuanli Zheng

    (College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China)

  • Wenqiang Xu

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China)

Abstract

The natural mountain forests in northwest China are recognized as a substantial carbon pool and play an important role in local fragile ecosystems. This study used inventory data and detailed field measurements covering different forest age groups (young, middle-aged, near-mature, mature, old-growth forest), structure of forest (tree, herb, litter and soil layer) and trees (leaves, branches, trunks and root) to estimate biomass, carbon content ratio, carbon density and carbon storage in Altai forest ecosystems. The results showed that the average biomass of the Altai Mountains forest ecosystems was 126.67 t·hm −2 , and the descending order of the value was tree layer (120.84 t·hm −2 ) > herb layer (4.22 t·hm −2 ) > litter layer (1.61 t·hm −2 ). Among the tree parts, trunks, roots, leaves and branches accounted for 50%, 22%, 16% and 12% of the total tree biomass, respectively. The average carbon content ratio was 0.49 (range: 0.41–0.52). The average carbon density of forest ecosystems was 205.72 t·hm −2 , and the carbon storage of the forest ecosystems was 131.35 Tg (standard deviation: 31.01) inside study area. Soil had the highest carbon storage (65.98%), followed by tree (32.81%), herb (0.78%) and litter (0.43%) layers. Forest age has significant effect on biomass, carbon content ratio, carbon density and carbon storage. The carbon density of forest ecosystems in study area was spatially distributed higher in the south and lower in north, which is influenced by climate, topography, soil types and dominant tree species.

Suggested Citation

  • Li Dai & Yufang Zhang & Lei Wang & Shuanli Zheng & Wenqiang Xu, 2021. "Assessment of Carbon Density in Natural Mountain Forest Ecosystems at Northwest China," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2098-:d:503230
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    References listed on IDEAS

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    1. Chunhua Zhang & Weimin Ju & Jing Chen & Mei Zan & Dengqiu Li & Yanlian Zhou & Xiqun Wang, 2013. "China’s forest biomass carbon sink based on seven inventories from 1973 to 2008," Climatic Change, Springer, vol. 118(3), pages 933-948, June.
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    Cited by:

    1. Geng He & Zhiduo Zhang & Qing Zhu & Wei Wang & Wanting Peng & Yongli Cai, 2022. "Estimating Carbon Sequestration Potential of Forest and Its Influencing Factors at Fine Spatial-Scales: A Case Study of Lushan City in Southern China," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    2. Yibo Gao & Hongwei Wang & Suyan Yi & Deping Wang & Chen Ma & Bo Tan & Yiming Wei, 2021. "Spatial and Temporal Characteristics of Hand-Foot-and-Mouth Disease and Their Influencing Factors in Urumqi, China," IJERPH, MDPI, vol. 18(9), pages 1-17, May.

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